Elasticsearch vs Neo4j Selecting the Right Database for GenAI Applications

Elasticsearch and Neo4j are two prominent databases with vector search capabilities that play a crucial role in AI applications such as recommendation engines, image retrieval, and semantic search. While both support vector search, they have different strengths and use cases. Elasticsearch is great for large-scale document search with its mature full-text search and efficient vector search, while Neo4j is good for combining relationship-based queries with vector similarity search. The choice between these two powerful but different approaches to vector search in distributed database systems should be based on the specific requirements of the application, including data structure, scale, and the importance of relationships between data points.